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Neuroscience

D-Index
60
Citations
13554
World Ranking
3828
National Ranking
52

Overview

Dewen Hu is affiliated with the National University of Defense Technology in China. Their research primarily spans the fields of Neuroscience and Computer Science, with a significant focus on Cognitive Neuroscience and Computer Vision and Pattern Recognition. Additional subfields of interest include Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, and Aerospace Engineering.

The scientist's main topics of work encompass:

  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging
  • Advanced MRI Techniques and Applications

Dewen Hu has contributed papers to a range of publication venues, among the most frequent are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal
  • IEEE Transactions on Cognitive and Developmental Systems
  • Biological Psychiatry

Several recent papers authored or coauthored by Dewen Hu include:

  • Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images, 2020, Medical Image Analysis
  • RayMVSNet++: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review, 2021, Frontiers in Neuroscience
  • Self-Paced Dynamic Infinite Mixture Model for Fatigue Evaluation of Pilots' Brains, 2020, IEEE Transactions on Cybernetics

Frequent coauthors of Dewen Hu include Ling-Li Zeng, Hui Shen, Jianpo Su, Li Liu, and Yang Yu. The counts of collaborations range from 15 to 40 coauthored works with these individuals.

Best Publications

  • Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis

    Ling Li Zeng;Hui Shen;Li Liu;Lubin Wang

  • Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI.

    Hui Shen;Lubin Wang;Yadong Liu;Dewen Hu

  • A Treatment-Resistant Default Mode Subnetwork in Major Depression

    Baojuan Li;Li Liu;Karl J. Friston;Hui Shen

  • Rapid and brief communication: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

    Dewen Hu;Guiyu Feng;Zongtan Zhou

  • A brain network model for depression: From symptom understanding to disease intervention.

    Bao-Juan Li;Bao-Juan Li;Karl Friston;Maria Mody;Hua-Ning Wang

  • Correlation-based channel selection and regularized feature optimization for MI-based BCI

    Jing Jin;Yangyang Miao;Ian Daly;Cili Zuo

  • Neurobiological basis of head motion in brain imaging

    Ling-Li Zeng;Ling-Li Zeng;Danhong Wang;Michael D. Fox;Michael D. Fox;Mert Sabuncu

  • Reply: Comment on two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

    Dewen Hu;Guiyu Feng;Zongtan Zhou

  • A Dynamically Optimized SSVEP Brain–Computer Interface (BCI) Speller

    Erwei Yin;Zongtan Zhou;Jun Jiang;Yang Yu

  • Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI

    Ling-Li Zeng;Huaning Wang;Panpan Hu;Bo Yang

  • A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm.

    Erwei Yin;Zongtan Zhou;Jun Jiang;Fanglin Chen

  • Generalised filtering and stochastic DCM for fMRI

    Baojuan Li;Jean Daunizeau;Jean Daunizeau;Klaas E. Stephan;Klaas E. Stephan;William D. Penny

  • Unsupervised classification of major depression using functional connectivity MRI.

    Ling-Li Zeng;Hui Shen;Li Liu;Dewen Hu

  • A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEP

    Erwei Yin;Zongtan Zhou;Jun Jiang;Fanglin Chen

  • Scene classification using a multi-resolution bag-of-features model

    Li Zhou;Zongtan Zhou;Dewen Hu

  • Gray matter density reduction in the insula in fire survivors with posttraumatic stress disorder: A voxel-based morphometric study

    Shulin Chen;Weiwei Xia;Lingjiang Li;Jun Liu

  • Globally Consistent Reconstruction of Ripped-Up Documents

    Liangjia Zhu;Zongtan Zhou;Dewen Hu

  • Salient Region Detection via Integrating Diffusion-Based Compactness and Local Contrast

    Li Zhou;Zhaohui Yang;Qing Yuan;Zongtan Zhou

  • Extended local binary patterns for face recognition

    Li Liu;Paul Fieguth;Guoying Zhao;Matti Pietikäinen

  • Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.

    Kai Gao;Jianpo Su;Zhongbiao Jiang;Ling Li Zeng

  • Towards correlation-based time window selection method for motor imagery BCIs.

    Jiankui Feng;Erwei Yin;Jing Jin;Rami Saab

  • Altered Cerebellar Functional Connectivity with Intrinsic Connectivity Networks in Adults with Major Depressive Disorder

    Li Liu;Ling-Li Zeng;Yaming Li;Qiongmin Ma

Frequent Co-Authors

Fanglin Chen
Fanglin Chen University of South Carolina
Zhening Liu
Zhening Liu Central South University
Karl J. Friston
Karl J. Friston University College London
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Paul M. Thompson
Paul M. Thompson University of Southern California
Lingjiang Li
Lingjiang Li Central South University
Shuqiao Yao
Shuqiao Yao Central South University
Neda Jahanshad
Neda Jahanshad University of Southern California
Jun Liu
Jun Liu Pacific Northwest National Laboratory
Klaas E. Stephan
Klaas E. Stephan University of Zurich

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